Quantum-Inspired Learning with Hybrid DPD Cost Function and Robust SVD for Noisy Scenarios
International Conference on Communication Systems and Networks（2025）
关键词
Cost Function,Singular Value Decomposition,Noisy Scenarios,Density Power Divergence,Mean Square Error,Singular Value,Anomaly Detection,Uncertain Environment,Tensor Decomposition,Machine Learning,Scalable,Learning Algorithms,Wireless,Incomplete Data,Machine Learning Models,Robust Algorithm,Truth Labels,Noisy Environments,Interference Signal,Artificial Intelligence Systems,Network Slicing,Truncated Singular Value Decomposition,Tucker Decomposition,Low-rank Approximation,Higher-order Tensors,Imperfect Data,Robust Optimization,Intrusion Detection,Decomposition Framework,Noisy Data
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